Jobs at Egnyte

Fine-tune and optimize small language models using Hugging Face, TRL, and adapter methods. Build MLOps pipelines, deploy models to edge and mobile environments, meet strict latency targets, and monitor production accuracy, latency, and hardware utilization. Evaluate model quality through benchmarking and custom evaluation suites while applying quantization, pruning, and knowledge distillation.

Own the architecture and technical direction of large-scale distributed applications. Build secure, scalable Python backend services, contribute to Java services, guide platform strategy, mentor engineers, and establish engineering standards. Improve reliability, observability, automation, developer experience, security, testing, and operational excellence. Use AI-assisted development tools responsibly to increase productivity while maintaining software quality. Collaborate cross-functionally and lead through technical excellence, pragmatic architecture, and strong ownership.

Lead the Monetization Infrastructure engineering team, provide hands-on technical leadership, ensure high uptime and incident management, collaborate with Finance and Product, drive operational excellence, and champion adoption of AI-assisted SDLC practices.

Lead and execute data and permission migration projects from on-premises and cloud sources to Egnyte. Liaise with customers and internal teams to monitor, report, troubleshoot, and escalate migration jobs. Drive technical discussions, provide implementation support, and ensure successful deployment and adoption while following SOPs and maintaining customer communication.

The Senior Technical Consultant leads customer implementation projects, designs technical solutions, integrates APIs, and provides technical guidance while managing customer relationships.